Results 141 to 150 of about 336,279 (300)

Soft Robotic Sim2Real via Conditional Flow Matching

open access: yesAdvanced Intelligent Systems, EarlyView.
A new framework based on conditional flow matching addresses the persistent Sim2Real gap in soft robotics. By learning a conditional probability path, the model directly transforms inaccurate simulation data to match physical reality, successfully capturing complex phenomena like hysteresis.
Ge Shi   +6 more
wiley   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

open access: yesAdvanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova   +3 more
wiley   +1 more source

Growth Convergence and Spending Efficiency among Filipino Households [PDF]

open access: yes
A growth model is used in the context of Sala-i-Martin’s definition of conditional convergence to assess the household income dynamics in segmented groups at the provincial level in the Philippines.
Erniel B. Barrios
core  

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

open access: yesAdvanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li   +15 more
wiley   +1 more source

Sectoral convergence in output per worker between Portuguese regions [PDF]

open access: yes
The aim of this paper is to present a further contribution to the analysis of absolute convergence ( and ), associated with the neoclassical theory, and conditional, associated with endogenous growth theory, of the sectoral productivity at regional level.
Martinho, Vítor João Pereira Domingues
core   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong   +4 more
wiley   +1 more source

The violation of a uniqueness theorem and an invariant in the application of Poincar\'{e}--Perron theorem to Heun's equation

open access: yes, 2019
The domain of convergence of a Heun function obtained through the Poincar\'{e}--Perron (P--P) theorem is not absolute convergence but conditional one [2].
Choun, Yoon-Seok
core  

Brain Atrophy Associated With Risk Variant rs10191329 Extends Beyond Multiple Sclerosis

open access: yesAnnals of Neurology, EarlyView.
The risk allele rs10191329*A is associated with disease severity and brain atrophy in people with multiple sclerosis (MS). We investigated the association of rs10191329 with age‐related brain atrophy in a population‐based cohort using 10,308 magnetic resonance imaging (MRI) scans of 4,815 participants aged ≥ 45 years without MS in cross‐sectional and ...
Cato E. A. Corsten   +10 more
wiley   +1 more source

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